Triple
T26195220
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 5150 Studios |
E655077
|
entity |
| Predicate | genreOfRecordedWork |
P164195
|
FINISHED |
| Object | rock music |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: rock music | Statement: [5150 Studios, genreOfRecordedWork, rock music]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: genreOfRecordedWork Context triple: [5150 Studios, genreOfRecordedWork, rock music]
-
A.
genreOfAssociatedPerson
Indicates that a particular genre is associated with a given person, such as an artist, author, or performer.
-
B.
musicBrainzType
Indicates the specific MusicBrainz-defined category or classification assigned to an entity within the MusicBrainz database.
-
C.
genreOfRecognition
Indicates the specific genre or category in which an entity (such as a work or person) is formally recognized, honored, or awarded.
-
D.
genreIncludes
Indicates that a broader genre category encompasses or contains a specified subgenre or work as part of its classification.
-
E.
genreAsModel
Indicates that one entity serves as a genre-based template or stylistic model for another entity.
- F. None of above. chosen
Provenance (4 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69ee5b48236c81908fe385b6afc4f60b |
completed | April 26, 2026, 6:36 p.m. |
| NER | Named-entity recognition | batch_69f643c204508190a43fe0ec5165b01c |
completed | May 2, 2026, 6:34 p.m. |
| PD | Predicate disambiguation | batch_69f641da05b881909f6283c988639c53 |
completed | May 2, 2026, 6:26 p.m. |
| PDg | Predicate description generation | batch_69f6430975b481909191219ad13ef77e |
completed | May 2, 2026, 6:31 p.m. |
Created at: April 26, 2026, 8:46 p.m.